24 search results - page 2 / 5 » Adaptive Training for Voice Conversion Based on Eigenvoices |
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
This paper presents a non-parallel training algorithm for voice conversion based on feature transform Gaussian mixture model (FTGMM), which is a mixture model of joint density spa...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
To make voice conversion usable in practical applications, the number of training sentences should be minimized. With traditional Gaussian mixture model (GMM) based techniques sma...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
Voice conversion has become more and more important in speech technology, but most of current works have to use parallel utterances of both source and target speaker as the traini...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
In this work, accurate spectral envelope estimation is applied to Voice Conversion in order to achieve High-Quality timbre conversion. True-Envelope based estimators allow model o...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
We propose an aspect-model-based reference speaker weighting. The main idea of the approach is that the adapted model is a linear combination of a set of reference speakers like r...